JPMorgan Chase, a top player in the $5.1 trillion-a-day global currency market h...
LONDON - JPMorgan Chase, a top player in the $5.1 trillion-a-day global currency market has started applying a new technology that enables machine-trading programs to learn from previous trades and search for the most profitable way to execute them.
Algos, as these programs are known, are used by market makers to search at lightening speed for platforms with deeper liquidity pools or break up large orders into tiny bits tor reduce market impact. For example, a typical time-weighted average price order executed by an algorithm may aim to buy a particular amount of currency over a few minutes or hours. But if the order is not executed within that time frame, the machine will trade aggressively toward the end to buy the required amount.
“The objective of an algo is to minimize market impact by executing in an efficient and timely manner,” Chi Nzelu, head of macro eCommerce at JP Morgan, told Reuters.
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